Bücher veröffentlicht von APress

Develop well-structured applications using tested techniques and patterns. When you start to develop an application, you not only have to think about the idea of the finished application, but also about how it will evolve as it is built. This book shows you how to plan for changes, scope creep, and for the possibility of other developers joining in. Start by learning what architecture patterns for an application are. Yoüll find out why it¿s important for your applications to be based on these patterns and which ones are the most common. Then yoüll look at the MVC as one of the best known and used patterns. Yoüll see how and when it can be implemented in your applications, as well as its advantages and disadvantages. From there, yoüll discover the first evolution of the MVC model: the MVP, which introduces a new layer (Presenter) to better manage views. The next evolution after that is the MVVM, which introduces the ViewModel layer and its connection withthe views through Data Binding. With those prominent patterns covered, yoüll read about VIPER and VIP, Architecture Patterns that seeks to make applications easily maintainable, modularized, and highly scalable. All of which are hallmarks of Clean Architecture. Architecture patterns have developed and evolved to give your applications solid foundations. Understanding these patterns, you will reduce the problems that may arise when modifying existing functions, adding new ones, or correcting errors that may arise in the development process.What You'll LearnCode cleanly with solid foundations Start your project ready to adapt and evolve as features and other developers are added Find and apply the right patterns for the best results Who This Book Is ForDevelopers with some programming knowledge who want to learn different architecturepatterns, those who already have more experience and are looking for a starting point on complex patterns such as VIPER or VIP, and beginner programmers

Among Java's many attractive features as a programming language, its object-oriented nature is key to creating powerful, reusable code and applications that are easy to maintain and extend. To take advantage of these capabilities, you're going to need not only to master the syntax of the Java language, but also to gain a practical understanding of what objects are all about. Most importantly, you need to know how to structure Java applications from the ground up to make the most of objects. With Beginning Java Objects: From Concepts to Code, you'll master all three.Learning to design objects effectively with Java is the goal of Beginning Java Objects: From Concepts to Code. Plenty of titles dig into the Java language in massive detail, but this one takes the unique approach of stepping back and looking at fundamental object concepts first. Mastery of Java—from understanding the basic language features to building complete industrial-strength Java applications—emerges only after a thorough tour of thinking in objects. Let this book be your guide.

Enterprise Architecture (EA) frameworks such as TOGAF and Zachman are still valid, but enterprise architects also need to adapt to the new reality of agile, DevOps, and overall disruption through digital transformation. This book will help do just that.The Change to Modern Enterprise Architecture will teach you how to use known frameworks in the new world of digital transformation. Over the course of the book, you'll learn how modern EA is helping drive strategic business decisions, create continuous and agile (¿floating¿) architecture for scalability, and how to address quality and speed in architecture using and integrating DevSecOps frameworks in EA. This book is divided into three parts: the first explains what modern enterprise architecture is and why it¿s important to any business. It covers the different EA frameworks and explains what they are. In the second part, you will learn how to integrate modern development frameworks into EA, and why this knowledge will enable you to deftly respond to various business challenges. The final section of the book is all about scaling the enterprise using modern enterprise architecture. You will also see how the role of the enterprise architect is changing and how to remain in control of your architecture. Upon completing this book, you'll understand why the enterprise architect is no longer just a role overseeing the architecture strategy of a business, but has become more of a leader in driving engineering excellence. What You'll LearnIntegrate DevSecOps as artifact to modern EAUse Enterprise Architecture to scale up your businessUnderstand the changing role of the enterprise architectDefine a floating architecture to enhance business agilityWho This Book Is ForEnterprise architects, IT architects, lead engineers, business architects, business leaders, product managers.

This book covers the essential theory and implementation of popular Bayesian optimization techniques in an intuitive and well-illustrated manner. The techniques covered in this book will enable you to better tune the hyperparemeters of your machine learning models and learn sample-efficient approaches to global optimization.The book begins by introducing different Bayesian Optimization (BO) techniques, covering both commonly used tools and advanced topics. It follows a ¿develop from scratch¿ method using Python, and gradually builds up to more advanced libraries such as BoTorch, an open-source project introduced by Facebook recently. Along the way, yoüll see practical implementations of this important discipline along with thorough coverage and straightforward explanations of essential theories. This book intends to bridge the gap between researchers and practitioners, providing both with a comprehensive, easy-to-digest, and useful reference guide. After completingthis book, you will have a firm grasp of Bayesian optimization techniques, which yoüll be able to put into practice in your own machine learning models.What You Will LearnApply Bayesian Optimization to build better machine learning modelsUnderstand and research existing and new Bayesian Optimization techniquesLeverage high-performance libraries such as BoTorch, which offer you the ability to dig into and edit the inner workingDig into the inner workings of common optimization algorithms used to guide the search process in Bayesian optimizationWho This Book Is ForBeginner to intermediate level professionals in machine learning, analytics or other roles relevant in data science.

Tech SEO Guide provides a reference for everyone who works on the technical side of SEO. SEO has always had a technical component but over the last several years, the technical challenges are increasing as websites deliver richer and more engaging experiences. Those experiences can make it harder for Google to crawl a website and rank a website in search results. Given how important organic search rankings can be for a website¿s traffic, it is more important than ever to make sure the technical fundamentals are in place to support a website¿s SEO performance.SEO professionals includes marketers, developers, programmers, UX professionals, designers, and business executives because technical SEO impacts and overlaps with so many different areas of a business. Because the book addresses a wider audience, it provides technical details but also includes higher-level discussions about how search engines and robots work too.There are many different aspects of technical SEO and it is difficult to keep track of every detail, especially for people who only work on technical SEO matters on an occasional basis. Because of that, this guide book can be read all at once for those wanting to study technical SEO in detail or it can be read a paragraph at a time, allowing people to refer back to quickly jog their memory or review a complex topic. Each chapter walks through a different area of technical SEO, addressing specific scenarios and questions about that particular area. After discussing each section, the chapter will conclude with a summary of the important items to measure and monitor related to that section.What You Will LearnWhat factors to keep in mind as you begin a redesign of the websiteHow to evaluate technical factors to see if a technical configuration is causing traffic to dropHow to perform regular audits of a website to identify problems or areas of opportunityWho This Book is ForMarketers, developers, programmers, UX professionals, designers, and business executives

Embark on a journey into the world of embedded programming. This book introduces you to the 32bit PIC and will teach you how the main functions of C programming work and can be used with a PIC micro.A one-stop reference for the would-be embedded programmer, you'll explore the electronics needed for a variety of programs as well as how to use different devices with the PIC. The book starts with downloading the environment and creating a simple project, one that uses different oscillators, Phase Lock Loop, and circuitry needed to create the different system clocks¿an easy entry point to this exciting environment. You'll also review the MPLABX integrated development environment (IDE) and see how to program the 32Bit PIC, which can be adapted to different PICs.Throughout subsequent chapters, yoüll learn how to use a range of programs that use PIC modules such as the SPI, I2C, UART communication modules, the ADC module, the Capture, Compare, and Pulse Width Modulationmodule, and the RTCC, Real Time Clock and Calendar Module.What You'll LearnCreate a project in MPLABX Configure the different clock frequencies that are used in the 32bit PICBuild a variable delay subroutine to be used in a simple traffic lights programUse the MAX 7219 driver IC to control the 8by8 matrix displayProgram an I2C expander module to control the display on a LCDWho This Book Is ForReaders who want to try their hand at embedded programming, newcomers to programming the PIC 32, programmers who want to look into using MPLAB Harmony 3, and programmers who want to understand how C instructions work with respect to 32bit PIC. Also students who are studying for an engineering qualification.

Learn window function foundational concepts through a cookbook-style approach, beginning with an introduction to the OVER() clause, its various configurations in terms of how partitions and window frames are created, and how data is sorted in the partition so that the window function can operate on the partition data sets. You will build a toolkit based not only on the window functions but also on the performance tuning tools, use of Microsoft Excel to graph results, and future tools you can learn such as PowerBI, SSIS, and SSAS to enhance your data architecture skills.This book goes beyond just showing how each function works. It presents four unique use-case scenarios (sales, financial, engineering, and inventory control) related to statistical analysis, data analysis, and BI. Each section is covered in three chapters, one chapter for each of the window aggregate, ranking, and analytical function categories.Each chapter includes several TSQL code examples and is re-enforced with graphic output plus Microsoft Excel graphs created from the query output. SQL Server estimated query plans are generated and described so you can see how SQL Server processes the query. These together with IO, TIME, and PROFILE statistics are used to performance tune the query. You will know how to use indexes and when not to use indexes.You will learn how to use techniques such as creating report tables, memory enhanced tables, and creating clustered indexes to enhance performance. And you will wrap up your learning with suggested steps related to business intelligence and its relevance to other Microsoft Tools such as Power BI and Analysis Services.All code examples, including code to create and load each of the databases, are available online.What You Will LearnUse SQL Server window functions in the context of statistical and data analysisRe-purpose code so it can be modified for your unique applicationsStudy use-case scenarios that span four critical industriesGet started with statistical data analysis and data mining using TSQL queries to dive deep into dataStudy discussions on statistics, how to use SSMS, SSAS, performance tuning, and TSQL queries using the OVER() clause.Follow prescriptive guidance on good coding standards to improve code legibility Who This Book Is ForIntermediate to advanced SQL Server developers and data architects. Technical and savvy business analysts who need to apply sophisticated data analysis for their business users and clients will also benefit. This book offers critical tools and analysis techniques they can apply to their daily job in the disciplines of data mining, data engineering, and business intelligence.

Assess, plan, develop, implement, and manage AWS EC2 Instances, Cloud Formation using JSON Template with Bash programming language, and Cloud Watch monitoring. This book helps the public and private sectors comprehend how to assess and evaluate AWS cloud software as a service (SaaS), infrastructure as a service (IaaS), and platform as a service (PaaS).Government and business sector entities are looking for strategies to upgrade on-premises information systems to virtual cloud infrastructure orchestration and automation. You'll gain a step-by-step approach to planning, developing, implementing, and managing cloud infrastructure, services, and platforms that help reduce cost increases, scalability, and improves security. Outline your strategy to research how cloud infrastructure is planned and developed before being deployed and managed by on-premises IT team members. This book also supports cloud services for AWS and helps you understand why supporting and usingAWS for cloud services is beneficial both short and long-term.Once you complete this book, you'll be able to make logical decisions regarding AWS use cases for public and private sector entities, including disaster recovery and backup, IT self-service, Web applications, and messaging. What You'll LearnAssess different cloud services provided by AmazonLook at Cloud as a Service (CAAS)Understand internet protocol, packet switching, authoritative, recursive, and open-flowReview cloud infrastructure planning methodsExamine Cloud orchestration and automationWork with the AWS total cost of ownership calculatorWho This book Is ForThis book is aimed at business, government, non-profit organizations, academic institutions, and financial institutions interested in upgrading to AWS cloud architect infrastructure as a primary mode of data transmission, storage, and security at a scalable and economical annual cost.

This in-depth Spring-based Java developer code reference has been updated and now solves many of your Spring Framework 6 problems using reusable, complete and real-world working code examples. Spring 6 Recipes (5th Edition) now includes Spring Native which speeds up your Java-based Spring Framework built enterprise, native cloud, web applications and microservices. It also has been updated to now include Spring R2DBC for Reactive Relational Database Connectivity, a specification to integrate SQL databases, like PostgreSQL, MySQL and more, using reactive drivers.Furthermore, this book includes additional coverage of WebFlux for more reactive Spring web applications. Reactive programming allows you to build systems that are resilient to high load, especially common in the more complex enterprise, native cloud applications that Spring Framework lets you build. This updated edition also uses code snippets and examples based on newest available standard long term support release of Java. When you start a new project, yoüll be able to copy the code and configuration files from this book, and then modify them for your specific Spring Framework-based application needs. This can save you a great deal of work over creating a project from scratch. This powerful code reference is a "must have" for your print or digital library. This developer cookbook comes with accompanying source code that is freely available on GitHub under latest Creative Commons open source licensing. What You'll LearnGet re-usable code recipes and snippets for core Spring, annotations and other development toolsDive into Spring Native which merges the popular Spring and GraalVM for increased performance, speed and reliability of your Spring Framework 6 applicationsExplore Spring R2BC for reactive relational database connectivity with SQLBuild reactive Spring MVC-based web applications and microservices using WebFluxEnhance your enterprise or native cloud applications using Spring Transaction ManagementTest, secure and deploy your Spring applications using reusable code templates availableWho This Book Is ForThis book is for experienced Java programmers, software developers with experience using the Spring Framework.

Overhaul your debugging techniques and master the theory and tools needed to debug and troubleshoot cloud applications in production environments. This book teaches debugging skills that universities often avoid, but that typically consume as much as 60% of our time as developers. The book covers the use of debugger features such as tracepoints, object marking, watch renderers, and more. Author Shai Almog presents a scientific approach to debugging that is grounded in theory while being practical enough to help you to chase stubborn bugs through the maze of a Kubernetes deployment.Practical Debugging at Scale assumes a polyglot environment as is common for most enterprises, but focuses on JVM environments. Most of the tooling and techniques described are applicable to Python, Node, and other platforms, as well as to Java and other JVM languages. The book specifically covers debugging in production, an often-neglected discipline but an all too painful reality. Yoüll learn modern techniques around observability, monitoring, logging, and full stack debugging that you can put to immediate use in troubleshooting common ailments in production environments. You Will Learn:The scientific method underlying the process of debuggingDebugger capabilities such as tracepoints and marker objectsThe correct use of less understood features such as exception breakpointsTechniques for tracing issues in production Kubernetes environmentsObservability and monitoring to resolve production problemsIndustry best practices for common tooling such as logging Profiling to understand performance and memory problems Who This Book Is ForDevelopers in Java and JVM-related languages who want to improve their debugging skills and production reliability;and developers of cloud applications who are facing the pain of production bugs that are hard to replicate and fix

Build products on top of Ethereum's new and expansive technological stack.Writing any good web application requires planning, care, and deft technical skills, but Ethereum's execution model presents its own challenges for engineers wishing to build applications on top of its smart contract layer. Building performant and engaging product experiences is one of the most important ¿ and often underappreciated ¿ roles in any company.This book looks at the full product stack needed to build such experiences on top of Ethereum smart contracts, weaving tutorials and case studies through more conversational discussions of the various constraints, trade-offs, and complexities involved in doing so. Yoüll learn about the fundamentals of Ethereum from a new perspective, developing a strong understanding of how the Ethereum Virtual Machine (EVM) works and how it affects product engineering, as well as all the pieces of technology that go into decentralized apps (dapps) behindthe front end: RPC nodes, wallets, indexers, application hosts, and more. Yoüll be exposed to plenty of UI, JavaScript code, and idiomatic ways to bring on-chain data into your front ends. And yoüll be given up-to-date knowledge of the best practices and future possibilities that decentralized computation might offer the product engineer.What You Will LearnUnderstand the EVM and how it worksGain insight into smart contracts and how apps connect to themUnderstand the difference between live data and indexed dataHow decentralization affects the UI of applicationsBuild engaging, tasteful product experiences on top of EthereumWho This Book Is ForA confident ¿ mid-level or senior ¿ software engineer or web developer who hasn¿t properly branched out into Ethereum; someone who might have scratched the surface, but wants adeeper understanding of the principles behind dapps, and who wants a head start on the hurdles faced while building them.

Leverage the power of Svelte to quickly produce the foundations of a framework-agnostic component library that can extend and develop over time. This is a project-oriented book that simplifies setting up the skeleton of the library and adding components, using little more than a text editor or free software. You'll gain a starting baseline that can be used to develop future projects or incorporated into an existing workflow. You'll take development to the next level and can use this knowledge to create components with any framework, such as React, Angular or Vue.js, not just Svelte. Developing Web Components with Svelte is an excellent resource for getting acquainted with creating and maintaining a component library using a phased approach. It takes the view that you don't have to create something complex and unwieldy. Instead, you can start building something quickly, then extend it as needs dictate over time, without sacrificing speed or features.You'll see how to develop cleaner components in a quick, clear and straightforward way. The components you create in this project can be made available in one of the world's most extensive component ecosystems to be usable by other frameworks, making them genuinely reusable. In short, Svelte offers plenty of opportunities as it is based on Node.js and JavaScript making Svelte a powerful package to work from.What You'll LearnUse the Svelte framework to rapidly create and deploy the foundation of a component library that is versatile and performantReview developing and customizing components based on our needsWork through a real-world project to help solidify skills learned from the book and put them into practiceWho This Book Is ForWebsite developers, familiar with JavaScript, who are keen to learn how to leverage the Svelte framework fastAgile development teams, wheretime is of the essence, and the pressure is on to deliver results quicklyDevelopers who want to focus on simplicity, to produce efficient and optimized content in modern browsers using tools readily available

Beginning-Intermediate user level

Discover the benefits of running Oracle databases in Linux containers. This book approaches containers from the perspective of database administrators, developers, and systems administrators. It explains the differences between containers and virtual machines and describes why containers deliver greater speed, flexibility, and portability, with lower resource requirements. You'll learn how running Oracle databases in containers complements existing database infrastructure and accelerates development, and you'll understand the advantages they offer for test and validation environments.This book teaches you how to begin working with Oracle databases in Docker, covering the steps for preparing and installing software on Windows, Mac, and Linux systems. It describes the steps for deploying Oracle databases, separating data and configurations from database software, and networking and communicating with your containers. It introduces the Docker commands you'll use for managing containers, including tips and shortcuts to make everyday tasks easier. Databases have unique demands for performance and reliability, and this book addresses those qualities with discussions on protecting, persisting, and distributing data. Other books may overlook these topics and approach containers as disposable commodities in serverless environments or convenient coding platforms. You'll gain battle-tested insights for customizing and extending your containers to meet different needs.The opening chapters concentrate on the practical steps of running Oracle databases in Docker. Once you're comfortable with container terminology and methods, you'll look deeper at the real power behind containers-preparing and building images, and the templates that form the foundation beneath every container. You'll begin by modifying publicly available image manifests, or Dockerfiles, following multiple examples that add functionality and capabilities to your databases. You'll discover methods for using run-time options to create flexible and extensible images that adapt to real-world requirements.Within the pages, you'll see how Oracle and Docker empower you to confidently build and deploy systems. It's written with databases and database users in mind and delivers practical advice based on the author's real-world, battle-tested experiences deploying and running Oracle databases in containers since 2014. With Oracle databases in containers, database administrators have the ideal platform for evaluating performance, practicing database upgrades and migrations, validating backup and recovery processes, and hardening environments. Developers will find that the marriage of Oracle and Docker simplifies code and application tests. Docker's unique ability to isolate data artifacts improves reliability and confidence in test and QA processes. If you're a database administrator, this book will help you join the container revolution sweeping the industry and making IT professionals more productive than ever!What You Will LearnRecognize when and why to use containers for an Oracle databaseUnderstand container terminology and architectureCreate and customize Oracle databases in containersBuild and extend images and containers for multiple usesStore and persist data beyond the container ecosystemUse popular database tools with databases in containersExplore container networking and connect multiple container databasesManage, monitor, and secure containersWrite Dockerfiles to support custom requirementsPackage and deploy data artifacts that accelerate development, test, and QA activities

Use this book to study for the PL-300 Microsoft Power BI Data Analyst exam. The book follows the ¿Skills Measured¿ outline provided by Microsoft to help focus your study. Each topic area from the outline corresponds to an area covered by the exam, and the book helps you build a good base of knowledge in each area. Each topic is presented with a blend of practical explanations, theory, and best practices.Power BI is more than just the Power BI Desktop or the Power BI Service. It is two distinct applications and an online service that, together, enable business users to gather, shape, and analyze data to generate and present insights. This book clearly delineates the purpose of each component and explains the key concepts necessary to use each component effectively. Each chapter provides best practices and tips to help an inexperienced Power BI practitioner develop good habits that will support larger or more complex analyses. Manybusiness analysts come to Power BI with a wealth of experience in Excel and particularly with pivot tables. Some of this experience translates readily into Power BI concepts. This book leverages that overlap in skill sets to help seasoned Excel users overcome the initial learning curve in Power BI, but no prior knowledge of any kind is assumed, terminology is defined in non-technical language, and key concepts are explained using analogies and ideas from experiences common to any reader. After reading this book, you will have the background and capability to learn the skills and concepts necessary both to pass the PL-300 exam and become a confident Power BI practitioner. What You Will LearnCreate user-friendly, responsive reports with drill-throughs, bookmarks, and tool tipsConstruct a star schema with relationships, ensuring that your analysis will be both accurate and responsivePublish reports and datasets to the Power BI Service, enabling the report (and the dataset) to be viewed and used by your colleagues Extract data from a variety of sources, enabling you to leverage the data that your organization has collected and stored in a variety of sourcesSchedule data refreshes for published datasets so your reports and dashboards stay up to dateDevelop dashboards with visuals from different reports and streaming contentWho This Book Is ForPower BI users who are planning to take the PL-300 exam, Power BI users who want help studying the topic areas listed in Microsoft¿s outline for the PL-300 exam, and those who are not planning to take the exam but want to close any knowledge gaps they might have

Understand how to use Explainable AI (XAI) libraries and build trust in AI and machine learning models. This book utilizes a problem-solution approach to explaining machine learning models and their algorithms. The book starts with model interpretation for supervised learning linear models, which includes feature importance, partial dependency analysis, and influential data point analysis for both classification and regression models. Next, it explains supervised learning using non-linear models and state-of-the-art frameworks such as SHAP values/scores and LIME for local interpretation. Explainability for time series models is covered using LIME and SHAP, as are natural language processing-related tasks such as text classification, and sentiment analysis with ELI5, and ALIBI. The book concludes with complex model classification and regression-like neural networks and deep learning models using the CAPTUM framework that shows feature attribution, neuron attribution,and activation attribution. After reading this book, you will understand AI and machine learning models and be able to put that knowledge into practice to bring more accuracy and transparency to your analyses.What You Will LearnCreate code snippets and explain machine learning models using PythonLeverage deep learning models using the latest code with agile implementationsBuild, train, and explain neural network models designed to scaleUnderstand the different variants of neural network models Who This Book Is ForAI engineers, data scientists, and software developers interested in XAI

This book Identifies the right sensors and single board computers for any application to achieve the best performance in Industry 4.0 settings and applications. Yoüll see what technologies apply the IIoT with elegant efficiency to drastically improve remote monitoring and controlling, decision making, and preventative maintenance. Start by learning exactly what Industry 4.0 is and advance your knowledge from simple Internet of Things projects to full-on Industrial IoT deployment. You'll automate advanced processes, incorporate professional procedures, and take your IoT skills to a professional level. Then move into the protocols and standards expected for industrial applications of sensors at an industrial level. Match the right SBCs to the right use cases and sensor technologies to optimize efficiency and ensure peak performance. Then move into setting up a smart factory and monitoring your supply chain with tech. Finally, you'll dive into programming with theNode-Red platform and Python packages for CPS.By the end of this book, yoüll have jumped from simple, home-based IoT systems up to industrial and professional applications. Conquer your supply chain and both forward and backward processes with accessible Maker tech! What You'll Learn Support industrial applications of SBCs and Maker tech Achieve peak performance by combining the right sensors with the right processing boards Improve remote monitoring and controlling drastically for better decision making and preventative maintenance Who This Book Is ForStudents and aspiring professionals working with Internet of things technologies moving towards industrial applications. Prerequisite knowledge in basic Internet of Things, simple python concepts, automation, and industry procedures is required for this book. Engineers and scientists who are pursuing research and contributing to industrial internet of things might also benefit.

With the advent of emerging and complex technologies, traffic capture and analysis play an integral part in the overall IT operation. This book outlines the rich set of advanced features and capabilities of the Wireshark tool, considered by many to be the de-facto Swiss army knife for IT operational activities involving traffic analysis. This open-source tool is available as CLI or GUI. It is designed to capture using different modes, and to leverage the community developed and integrated features, such as filter-based analysis or traffic flow graph view. You'll start by reviewing the basics of Wireshark, and then examine the details of capturing and analyzing secured application traffic such as SecureDNS, HTTPS, and IPSec. You'll then look closely at the control plane and data plane capture, and study the analysis of wireless technology traffic such as 802.11, which is the common access technology currently used, along with Bluetooth. You'll also learn waysto identify network attacks, malware, covert communications, perform security incident post mortems, and ways to prevent the same. The book further explains the capture and analysis of secure multimedia traffic, which constitutes around 70% of all overall internet traffic. Wireshark for Network Forensics provides a unique look at cloud and cloud-native architecture-based traffic capture in Kubernetes, Docker-based, AWS, and GCP environments. What You'll LearnReview Wireshark analysis and network forensicsStudy traffic capture and its analytics from mobile devicesAnalyze various access technology and cloud trafficWrite your own dissector for any new or proprietary packet formatsCapture secured application traffic for analysisWho This Book Is ForIT Professionals, Cloud Architects, Infrastructure Administrators, and Network/Cloud Operators

Demystify the creation of efficient AI systems using the model-based reinforcement learning Unity ML-Agents - a powerful bridge between the world of Unity and Python.We will start with an introduction to the field of AI, then discuss the progression of AI and where we are today. We will follow this up with a discussion of moral and ethical considerations. You will then learn how to use the powerful machine learning tool and investigate different potential real-world use cases. We will examine how AI agents perceive the simulated world and how to use inputs, outputs, and rewards to train efficient and effective neural networks. Next, you'll learn how to use Unity ML-Agents and how to incorporate them into your game or product. This book will thoroughly introduce you to ML-Agents in Unity and how to use them in your next project.What You Will LearnUnderstand machine learning, its history, capabilities, and expected progressionGives a step-by-step guide to creating your first AIPresents challenges of varying difficulty, along with tips to reinforce concepts coveredBroad concepts within AIWho Is This Book ForTthose interested in machine learning using Unity ML-Agents. To get the best out of this book, you should have a fundamental understanding of C#, some background in Python, and are well versed in Unity.

Discover a new way of thinking about business applications in light of the massive industry shift toward cloud computing and reactive programming technologies. This book synthesizes technologies and techniques such as event sourcing, command query responsibility segregation (CQRS), property-based testing, and GraphQL into a cohesive guide for modern business applications that benefit every developer.The book begins with a look at the fundamentals of modern business applications. These fundamentals include business rules and the managing of data over time. The benefits of reactive techniques are explained, including how they are fundamentally aligned with what application developers strive to achieve in their work.Author Peter Royal equips you with sound guidance to follow as you evolve your existing systems, as well as examples of how to build those systems using modern techniques in Spring, Java, and PostgreSQL.What You Will LearnArchitect business applications for cloud-based environmentsDesign sustainable business applicationsIntegrate GraphQL best practices into business applicationsUse property-based testing to exhaustively test possible system statesThink about business applications in terms of message flowsRelate the benefits of reactive systems to business goalsModel time appropriately for business requirementsWho This Book Is ForPracticing software developers who are building business applications, developers who are being asked to deploy into cloud environments that are more volatile than statically provisioned data centers, developers who want to increase the reliability of their systems and are struggling to find the right paradigms and architectures to achieve their goals, developers who see and use capabilities in software in other areas of their lives and want to bring those capabilities into their own work, and developers with experience designing other types of software who want to learn how to design business applications

Build a complete control system for industrial robots, learning all the theory and practical tips from the perspective of an automation engineer. Explore the details of kinematics, trajectories, and motion control, and then create your own circuit board to drive the electric motors and move the robot.After covering the theory, readers can put what they¿ve learned in practice by programming a control firmware for the robot. Each software component is described in detail, from the HMI and the interpreter of motion commands, to the servo loop controller at the core of each servo drive. In particular, the author presents the commutation algorithm and the servo loop controller for brushless synchronous motors, which are typically employed in robotics applications. Readers will also learn how to calibrate the robot, commission it to the end-user, and design a digital twin to test and monitor the entire workcell in a safe simulated environment.Finally, the book delves into hardware, covering how to select and use electric motors and encoders, how to build servo drives and motion controllers, and how to design your own PCBs. Different electronic components and their application circuits are analyzed, showing the advantages and drawbacks of each. By the end of the book you should be able to design and build electronic boards and write their core firmware to control any kind of industrial robot for all sorts of different practical applications.What yoüll learnSolve kinematics models of robotsGenerate safe paths and optimal motion trajectoriesCreate a digital twin of your robot to test and monitor its movementsMaster the electronic commutation and closed-loop control of brushless motorsDesign electronics circuit boards for motion applicationsWho This Book Is For Robotics engineers (and students) who want to understand the theory behind the control of robotics arms, from the kinematic models of their axes to the electronic commutation of their motors. Some basic calculus and linear algebra is required for the understanding of the geometrical framework, while some electronics foundations are helpful to grasp the details of the circuits design.

This book will teach you the basics of Streamlit, a Python-based application framework used to build interactive dashboards and machine learning web apps. Streamlit reduces development time for web-based application prototypes of data and machine learning models. As yoüll see, Streamlit helps develop data-enhanced analytics, build dynamic user experiences, and showcases data for data science and machine learning models.Beginner's Guide to Streamlit with Python begins with the basics of Streamlit by demonstrating how to build a basic application and advances to visualization techniques and their features. Next, it covers the various aspects of a typical Streamlit web application, and explains how to manage flow control and status elements. Yoüll also explore performance optimization techniques necessary for data modules in a Streamlit application. Following this, yoüll see how to deploy Streamlit applications on various platforms. The book concludes with a few prototype natural language processing apps with computer vision implemented using Streamlit.After reading this book, you will understand the concepts, functionalities, and performance of Streamlit, and be able to develop dynamic Streamlit web-based data and machine learning applications of your own.What You Will Learn How to start developing web applications using Streamlit What are Streamlit's components Media elements in Streamlit How to visualize data using various interactive and dynamic Python librariesHow to implement models in Streamlit web applicationsWho This Book Is ForProfessionals working in data science and machine learning domains who want to showcase and deploy their work in a web application with no prior knowledge of web development.

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical modeling methods like AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average), and ARIMA (autoregressive integrated moving-average). Next, you'll learn univariate and multivariate modeling using different open-sourced packages like Fbprohet, stats model, and sklearn. You'll also gain insight into classic machine learning-based regression models like randomForest, Xgboost, and LightGBM for forecasting problems. The book concludes by demonstrating the implementation of deep learning models (LSTMs and ANN) for time series forecasting. Each chapter includes several code examples and illustrations. After finishing this book,you will have a foundational understanding of various concepts relating to time series and its implementation in Python. What You Will LearnImplement various techniques in time series analysis using Python.Utilize statistical modeling methods such as AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average) and ARIMA (autoregressive integrated moving-average) for time series forecasting Understand univariate and multivariate modeling for time series forecastingForecast using machine learning and deep learning techniques such as GBM and LSTM (long short-term memory) Who This Book Is ForData Scientists, Machine Learning Engineers, and software developers interested in time series analysis.

Journey into the world of Web3-based application development, its related protocols, and its usage in developing decentralized applications. This book will explain how programmable blockchains are revolutionizing the world of web applications, which can be run on decentralized platforms or peer-to-peer networks like IPFS.You'll start with an introduction to decentralization with a focus on blockchain implementations like Ethereum and Bitcoin. You'll then learn to develop simple decentralized applications (dApps) using Solidity, the language used for developing apps with Ethereum as well as smart contracts, wallets, gateways and NFTs. This book also covers how security and scale are addressed by L2 networks for scaling Bitcoin and Ethereum blockchains. A Brief Introduction to Web3 is your go-to guide for setting up simple Web3 applications using the Ethereum blockchain programming model.WhatYou Will Learn Build NFT tokensExamine Web3 differs from Web2-based applicationsUnderstand the fundamentals of blockchain and the corresponding data structures around itSee how consensus and trustless computing can be performed using blockchain Use Solidity and Truffle to build Web3 applications Who This Book Is ForSoftware developers and architects who are looking to hone their skills in dApps and web3 applications developed on sound principles of decentralized computing.

Learn the tricks of simple procedural generation and how various genres, such as racing simulators, platformers, and roguelikes, can all benefit from these techniques.In this book, you'll learn how to combine hand-crafted content with algorithms to create immersive and beautiful environments. You'll learn how to create a seeding system, so that you can replay great levels with your friends. We'll cover how to create good tilesets, how to use the tilemap editor effectively, and how to inject just the right amount of logic into an otherwise automated machine that is your own personal procedural content generation engine.We will use 2D examples to demonstrate the concepts covered throughout the book. By the time you complete this book, yoüll have a good handle on how to add procedural generation to your games.What You Will LearnLearn to set up the perfect content generation system Master the tools for randomization andrepeatabilityUnderstand how much content to craft versus how much to generateWho This Book Is ForBasic familiarity with the Godot engine and GDScript is essential. While all concepts are explained in the book, it can be overwhelming learning these techniques at the same time as learning the engine.